Dynamic effects processing and communications for wearable devices

ABSTRACT

Processing techniques and device configurations for performing and controlling output effects at a plurality of wearable devices are generally described herein. In an example, a processing technique may include receiving, at a computing device, an indication of a triggering gesture that occurs at a first wearable device, determining an output effect corresponding to the indication of the triggering gesture, and in response to determining the output effect, transmitting commands to computing devices that are respectively associated with a plurality of wearable devices, the commands causing the plurality of wearable devices to generate the output effect at the plurality of wearable devices. In further examples, output effects such as haptic feedback, light output, or sound output, may be performed by the plurality of wearable devices, associated computing devices, or other controllable equipment.

PRIORITY APPLICATION

This application is a continuation of U.S. application Ser. No.14/978,822, filed Dec. 22, 2015, which is incorporated herein byreference in its entirety.

TECHNICAL FIELD

Embodiments described herein generally relate to the communication andprocessing of data among wearable electronic devices and associatedcomputer systems, and in particular, to the use of wearable electronicdevices and associated computer systems for the implementation ofdynamic audiovisual and real-world effects.

BACKGROUND

Self-powered wearable electronic devices (“wearable devices”) have beenadapted to a variety of form factors and are becoming increasinglypopular with consumer users. Wearable devices are presently found inshapes such as bands, bracelets, watches, and other form factors thatmay directly or indirectly attach to a human user. A wearable device mayinclude a variety of specialized circuitry and sensors to detectactivity such as motion and acceleration, or personal characteristics ofthe human user such as a heartbeat. As a result, wearable devices havebecome widely deployed for collecting data in custom settings such asfitness monitoring. However, many wearable devices are limited in theiruse cases, and provide limited functionality beyond sensor datacollection.

BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numeralsmay describe similar components in different views. Like numerals havingdifferent letter suffixes may represent different instances of similarcomponents. The drawings illustrate generally, by way of example, butnot by way of limitation, various embodiments discussed in the presentdocument.

FIG. 1 illustrates a system for controlling media outputs using wearabledevices in accordance with an example.

FIG. 2 illustrates an example wearable device in accordance an example.

FIG. 3 illustrates a system for controlling output characteristics at aplurality of wearable devices or triggering events in accordance with anexample.

FIG. 4 illustrates a flowchart showing a technique for controllingoutput characteristics in accordance with an example.

FIG. 5 illustrates a flowchart showing a technique for controlling mediaoutputs using wearable devices in accordance with an example.

FIG. 6 illustrates generally an example of a block diagram of a machineupon which any one or more of the techniques (e.g., methodologies)discussed herein may perform in accordance with an example.

DETAILED DESCRIPTION

In the following description, methods, configurations, and relatedapparatuses are disclosed that provide for the communication andprocessing of data from wearable devices in interactive and uniquesettings. In contrast to existing wearable devices which typically onlycommunicate data to a paired computing device for processing, thepresently described wearable devices and computing systems provideinteractivity and the communication of commands among a plurality ofdevices, computing systems, and users. As a result, a variety ofinteractive use cases are enabled, including interactive use casesresulting in audiovisual special effects.

In an example implementation, the present techniques and configurationsmay be used in combination with a music-control or other audio-outputplatform. For example, a “music by motion” platform may be used with thepresent techniques to create, compose, play, and communicate music andmusical effects. Such music and music effects may be generated from theperformance of gestures in the air or using dance and associatedmovement, providing triggering gesture input to accompanying wearabledevices. Also, for example, a user (e.g., a musician) may be enabled tocreate music or musical effects by triggering gestures with use of awireless wearable device, freeing the user front physical instrumentsand allowing the user to move freely during performances. The data thatis collected from the sensors of the wearable devices as part of thismusic-control platform may be communicated to a computing system forfurther processing; this processing consequently may result in eventstriggered for other devices or using other controllable systems, such aslighting changes, controlled outputs of smoke, fog, or fireworks, soundand video outputs, or the like.

Also in an example implementation, the present techniques andconfigurations may be used to control or trigger an event at a pluralityof wearable devices. A first wearable device (or a combination ofmultiple wearable devices) operated by a performer (or multipleperformers), for example, may be used to generate a triggering gesture.The triggering gesture may cause the first wearable device to sendinformation about the triggering gesture to a device, such as acomputer, a mobile device, a server, a server via another device, or thelike. The device receiving the information may determine that thetriggering gesture indicates that a certain command or event is to betriggered. The device receiving the information may then trigger thecommand or event. The command or event may include sending an indicationto a plurality of devices, such as mobile phones, to forward theindication to a plurality of corresponding wearable devices. Theplurality of corresponding wearable devices may be worn by a single user(e.g., a single user wearing multiple wearable devices) or multipleusers (e.g., multiple users each wearing a single or multiple wearabledevices). The indication, once received by the plurality of wearabledevices, may cause the plurality of wearable devices to output feedback,such as sound, light, or haptic feedback.

FIG. 1 illustrates a system 100 for controlling media outputs usingwearable devices in accordance with some embodiments. In an example, thesystem 100 includes a plurality of wearable devices 104-110 worn by auser 102. The plurality of wearable devices 104-110 may be incommunication with a host computer 112, such as directly (e.g., usingdirect IEEE 802.11 (Wi-Fi), Bluetooth/Bluetooth Low Energy (BLE), ornear field communication (NEC) communications), or indirectly (e.g.,through a mobile device, such as a smartphone or tablet). The direct orindirect communication may include use of communication methods such asWi-Fi network connections, cellular network connections, wiredconnections, Bluetooth/BLE and NEC connections, or the like.

In an example, the host computer 112 may include an app for receivingsignals from the plurality of wearable devices 104-110 (e.g., aplurality of wearable devices worn by one performer or among multipleperformers). The app may translate signals received to control a speaker114. The app may be in communication with a server including storedaudio files. In an example, the app may run on a mobile device insteadof a host computer 112. The host computer 112 may output audio to thespeaker 114, based on signals received from the wearable devices104-110.

The wearable devices 104-110 may, in another example, be worn by aplurality of users, and may be worn by a single user or a plurality ofusers alongside instruments to create specialized musical ormusic-triggered events. In an example, the wearable devices 104-110 areused to generate a triggering gesture. The triggering gesture is sent tothe host computer 112, which interprets the triggering gesture todetermine an instrument and note (e.g., musical pitch, tone, orcombinations of pitches or tones, such as a chord) associated with thetriggering gesture and optionally the wearable device used to generatethe triggering gesture. The instrument and note may include a MusicalInstrument Digital Interface (MIDI) file or MIDI command, which may beselected from a MIDI server and sent to the speaker 114.

In an example, the user 102 wears the wearable devices 104-110 on theuser's wrist or ankle. The user 102 performs a gesture as if the user isplaying a note on an instrument. The wearable device 104-110 may detectthe gesture and wirelessly send information to an application on thehost computer 112. The application may trigger a MIDI server to send anindication of a specific musical note or musical note characteristic tothe speaker 114 based on the information received. In an example, theoutput effect may be correlated to a specific MIDI note in a musicalarrangement, with an identification of musical output characteristic(such as one or more of volume, pitch, notation, sustain, reverb,frequency filtering, pitch bend, or the like) to implement for output ofthe MIDI note. In another example, the wearable devices 104-110 mayinclude wearable devices worn by dancers, performers playing actualinstruments, or augmentations to instruments.

A plurality of users each with one or more wearable devices 104-110 mayform an ensemble. Multiple sensors on a single user may also form anensemble, such as by using a body-area-network. The various examples mayconnect wirelessly to a central host computer, compose and play music inreal-time in a synchronized manner with a very low latency.

Existing systems that attempt to leverage user gestures have highlatency, limited gesture types supported, and poor accuracy. The system100 provides support for multiple gestures with higher accuracy and lowlatency for instant, real-time audio feedback. The system 100 may detectmultiple types of gestures by the user 102 using one or more of thewearable devices 104-110. For example, discrete-type gestures, such asnote-on events and continuous variable-type gestures, such as wristrotation events, may be recognized. These gesture types may enable theuser 102 to play notes with different velocity, changing notes/octavesto be played, creating effects such as reverb, vibrato, etc.

The system 100 supports multiple users or an ensemble that may playsimultaneously. The system 100 includes redundancy of messages andwireless radio media to ensure delivery of gesture events to the hostcomputer 112. The system 100 may include an extensible functionalityplatform. Besides music, the system 100 may be used to trigger specialeffects lighting, smoke/fog, fireworks in a large performance or aconcert, or the like. In some examples, these effects may be on otherwearable devices, or on other objects including wearable or controllabledevices and subsystems (e.g., clothing with embedded wearable devices).Accordingly, in the concert or performance setting, such effects mayoccur on devices operated by one or more performers, groups ofperformers, one or more audience members, groups of audience members,and like combinations.

The system 100 includes wearable body sensors, such as the wearabledevices 104-110, with gesture detection algorithms and communicationchannels. The system 100 includes a host computer 112 or mobile devicerunning an app to receive and process gesture events. The host computer112 or mobile device may map the gesture events to triggered outputevents, such as MIDI soft instruments, special effects lighting,fireworks, smoke/fog, or the like. The output events may be triggered byan indication sent to a MIDI server application for playing notes on thespeaker 114, a lighting controller, a smoke/fog controller, a fireworkscontroller, etc.

In an example, the wearable devices 104-110 may be worn on the user 102or integrated into clothing, shoes, or other aspects of the user's body.For example wearable devices 104-110 may be integrated into clothing,apparel, shoes, smart gloves, rings, jewelry, etc. The wearable devices104-11 may use techniques based on inertial measurement unit (IMU)sensors, flex sensors, proximity sensors, or light-based sensors todetect gestures. The gestures may include air note gestures, stompgestures, continuous variable wrist rotation gestures, continuousvariable arm rotation gestures, or the like. The gestures may be mappedto notes or chords, such as a note-on-low-g, a note-on-high-g for astomps, a fifth, a third, etc. The wearable devices 104-110 may modelvarious configurations of these gestures. When the user 102 performs agesture as if hitting a note on an instrument (e.g., playing airguitar), the wearable device 104 may detect the gesture and wirelesslysend an event to an application on the host computer 112. The hostcomputer 112 may determine that the gesture corresponds with a chord ona guitar, and may cause the speaker 114 to play the chord using guitaror guitar-simulated timbre and tone.

The host computer 112 may include musical instruments and notes orchords mapped to the triggers using an app, which may act as aconfiguration tool and MIDI router. The app on the host computer 112interprets the gesture event from the wearable devices 104-110, and maysend MIDI messages to a MIDI server application over a MIDI bus. The appmay act as a bridge between the wearable devices 104-110 and musicsoftware packages.

FIG. 2 illustrates an example wearable device 200 in accordance someembodiments. The wearable device 200 may include circuitry 202. In anexample, the wearable device 200 includes an LED 208. The LED 208 mayinclude a plurality of LEDs. The wearable device 200 may include adisplay 204, a sensor 206, or a button 210 (e.g., a hardware button).The wearable device 200 may include a speaker 212 to produce sound to auser. The circuitry 202 may determine that a triggering gesture has beenmade by the wearable device. The circuitry 202 may determine that thetriggering gesture has been made using data from the sensor 206. In anexample, the sensor 206 may include an inertial sensor. In response todetermining that the triggering gesture has been made, the circuitry 202may send an indication to a device with information about the triggeringgesture.

In an example, the wearable device 200 may receive, such as using thecircuitry 202, an indication from a device (e.g., a mobile device) togenerate feedback at the wearable device 200. The feedback may includedisplaying light using the LED 208 or displaying video or an image usingthe display 204, sound using the speaker 212, or haptic feedback.

The sensor 206 may be used to take a series of measurements at thewearable device 200. The series of measurements may be sent, using thecircuitry 202, to a mobile device, such as a corresponding wirelesslyconnected phone or a host computer, to determine a gesture has been madeusing the wearable device 200. The gesture may be used to generate mediaoutputs, such as sound at a speaker, lights, firework, smoke/fog,actions at a plurality of other wearable devices, or the like.

In an example, the button 210 may be used to initiate an action. Forexample, the button 210 may be used to connect with an external device,such as a mobile phone or host computer. In another example, the button210 may be used to indicate that the wearable device 200 may receive amedia input. The button 210 may be used to place the wearable device 200in a state to not receive a media input or to override a media input(e.g., to cancel audio or video playing at the wearable device 200).

FIG. 3 illustrates a system 300 for controlling output characteristicsat a plurality of wearable devices or triggering events in accordancewith some embodiments. The system 300 includes a performer 302 with afirst wearable device 304. The system includes a computing device 306with a first transmitter/receiver 308 and a server 310 with a secondtransmitter/receiver 312. The server 310 and the computing device 306may be electronically (e.g., communicatively) coupled, such as using awired or wireless connection established with transmitter/receiver 308.In an example, the computing device 306 is a mobile computing devicethat communicates with the first wearable device 304 using short-rangecommunication technologies such as Wi-Fi, Bluetooth/BLE, or NFCcommunication, as the computing device 306 collects sensor data. Thecomputing device 306 may then connect to the server 310 via a local areanetwork (LAN) or wide area network. For example, the server 310 mayoperate a network-accessible service and application programminginterface (API) for processing data, receiving and transmittingcommands, and exchanging events and indications with the computingdevice 306.

The computing device 306 or the server 310 may be connected to anevents/effect controller 314. For example, the events/effect controller314 may control various special effects or output mediums such aslights, audio/visual devices (e.g., speakers and video screens),controls for fog, smoke, or fireworks, or the like.

The first transmitter/receiver 308 or the second transmitter/receiver312 may be wirelessly connected to a plurality of devices (e.g., device1, device 2, device N of blocks 316-320). For example, thetransmitter/receiver 308 may send commands directly front the computingdevice to the devices 316-320. In another example, thetransmitter/receiver 312 may forward commands from the server 310 (orrelay commands originating from the computing device 306) to theplurality of devices. The plurality of devices may connect torespectively associated wearable devices, such as those worn by audiencemembers in blocks 316-320.

In a further example, the plurality of wearable devices (and theplurality of devices) such as worn by the audience members in blocks316-320 may be used to provide feedback to the computing device 306 orthe server 310. For example, a plurality of response signals may bereceived from the plurality of wearable devices (in blocks 316-320), inresponse to the commands that cause the plurality of wearable devices togenerate the output effect. The computing device 306, the server 310, orthe event/effect controller 314 may trigger a second output event afterreceiving the response signals from a threshold number of the pluralityof wearable devices (in blocks 316-320). Triggering the second outputevent may include transmitting instructions to the event/effectcontroller 314 to control one or more of: lights, fireworks, audio, orvisual effects. Thus, a first output event and a second output event maybe provided as part of a two-way interaction: the first output eventoccurring from a performer's wearable device to effect the performanceand the performer's interaction with the audience members; and thesecond output event occurring from audience members' wearable devices toeffect special effects that add to the performance.

For example, the second output event may be triggered in response toreceiving a plurality of response signals from a threshold number ofhuman users of the plurality of wearable devices. In an example,multiple wearable devices worn by a single user may not contribute morethan a single response signal. In an example, the response signals mayinclude gestures performed with the plurality of wearable devices (inblocks 316-320). For example, triggering a second output event mayinclude receiving signals corresponding to a specified gesture from athreshold number of the plurality of wearable devices (in blocks316-320). The specified gesture may be predefined, determined using thefirst wearable device (e.g., an example gesture), determined using thecomputing device 306, the server 310, or based on displayed or audibleinstructions, such as those that may be shown or heard using theevent/effect controller 314 (e.g., displayed or audible in the firstoutput event). In another example, the specified gesture may bedetermined using a ranking of gestures (e.g., a ranking of a number ofresponse signals that include gestures from set of predefined gestures),such as a highest ranking gesture.

FIG. 4 illustrates a flowchart showing a technique 400 for controllingoutput characteristics in accordance with an example. The technique 400may be performed by a computing device, a computing server, features ofspecialized circuitry in a wearable device, or a combination thereof.

The technique 400 includes an operation 402 to receive an indicationgenerated at a first wearable device. This indication may includeinformation for a triggering gesture, such as a gesture that isindicated by motion characteristics of a human user, detected by thefirst wearable device (for example, a first wearable device worn by anon-stage musician). This first wearable device may transmit, forward, orbegin communication of this indication via a BLE connection to a pairedcomputing device. In a further example, the wearable device may alsotransmit, forward, or begin communication of this indication via a 900MHz radio communication. In a further example, the wearable device mayalso transmit, forward, or begin communication of this indication via anUltra-wideband (UWB) communication. In a further example, thecommunication of this indication may be transmitted by two or more of900 UWB, or BLE connections for redundancy and robustness ofcommunication.

The technique 400 includes an operation 404 to determine an outputeffect or like characteristic corresponding to the indication. In anexample, the operation 404 determines an output effect in response toperforming drift compensation on sensor data from the first wearabledevice. For example, the sensor data may include motion characteristicsthat are provided from direction measurements, accelerationmeasurements, rotation measurements, or magnetic field measurements ofthe triggering gesture collected in sensor data from the first wearabledevice. As an additional example, the types of specific triggeringgestures that may be detected may include: a down impulse of a user inthe direction of gravity; a side impulse to the right or left of theuser; a twist of wrist/forearm of the user; a stomping with a leg of theuser; a down impulse with a user's arm (e.g., close to the torso or awayfrom torso); or like movements that may occur during a performance orthat are specialized to certain human actions. Also as a furtherexample, a wearable device may also send gesture “primitives”, which mayrepresent data or other information pertaining to specific raw sensordata values (e.g., rotation, acceleration, location that particularwearable device. In an example, such primitives may not representtriggering gestures by themselves, but can be combined in latercomputing or effects processing with other sensor data or triggeringgesture indications to create or identify specific effects. Examples ofsuch primitives may include: vertical inclination of an arm/leg of auser; movements of a wrist of a user; a horizontal angle of an arm/legof a user; a wrist angle while twisting an arm/leg of a user; or thelike. In further examples, such primitives may be used to build “new”instruments that are based on specific types and performances ofgestures.

The technique 400 includes an operation 406 to transmit instructions tocomputing devices respectively associated with a plurality of wearabledevices. In an example, the first wearable device is operated by a firsthuman user, while the plurality of wearable devices are operated byrespective users of a plurality of other human users. Also in anexample, the first wearable device may be a band or bracelet worn by thefirst human user, whereas the plurality of wearable devices may be handsor bracelets worn by the respective users of the plurality of otherhuman users.

In a further example, the triggering gesture is a personalized gesture,which is pre-programmed to be specific to a human user. The triggeringgesture may include various movement characteristics such as a downwardmovement, a horizontal swipe, or a twist movement that is specific to ahuman user or group of human user. Other variations to detected movementcharacteristics that are detectable by sensors and processing circuitryof wearable devices may also be evaluated separately or in combinationwith triggering gestures.

In a further example, the wearable device may send periodic“localization beacons” to the computing system (e.g., with a UWBcommunication) which helps ascertain the wearable device location withina performance stage or other defined area. This may allow the triggeringgesture to be interpreted both in local contexts (e.g., adirection/acceleration of the wearable device) and global contexts(e.g., an absolute position inside the room) contexts while being usedto generate audio-visual-theatrical effects. For example, with use ofindoor location technologies such as may be enabled with use of UWBanchors/tags, gestures for “air” drums may be correlated to specificgestures for musical instrument outputs.

FIG. 5 illustrates a flowchart showing a technique 500 for controllingoutput effects using wearable devices in accordance with someembodiments. The technique may be performed by a device, such as aserver, mobile device, computer, or wearable device. The technique 500includes an operation 502 to determine a plurality of movements by aplurality of wearable devices. The plurality of wearable devices mayinclude devices worn by a plurality of users. In an example, theplurality of wearable devices are worn by a single user. The pluralityof wearable devices may be connected to a plurality of devices, such asmobile devices (e.g., tablets or phones), computers, or relays. Theplurality of devices may be connected to the device performing thetechnique 500.

The technique 500 includes an operation 504 to receive information fromthe plurality of wearable devices corresponding to the movements. Theinformation may include gestures performed by the plurality of wearabledevices. In an example, the technique 500 may include classifyinggestures. The gestures may be classified based on type of gesture (e.g.,arm raised, arm twisted, foot stomped, etc.), time the gesture wasreceived, or intensity of the gesture (e.g., force used to makegesture). Gestures may be aggregated, such as based on type, and theaggregated gesture types may be ranked. For example, a first number ofthe wearable devices may have made a first gesture and a second number(e.g., less than the first number) of the wearable devices may have madea second gesture. In an example, the ranking may affect which triggeredevents occur or an aspect of the triggered event.

The technique 500 includes an operation 506 to correlate the informationfrom the plurality of wearable devices to output effects. In an example,the output effects may include notes, instruments, chords, songs, orother audio outputs. In another example, the output effects maycorrelate with visible outputs, such as lights, smoke or fog, fireworks,video, or the like. The output effects may correspond with MIDI files,MIDI notes, or MIDI instruments. The correlation may depend on a gestureincluded in the information. For example, a first gesture may correspondto a first output effect and a second gesture may correspond to a secondoutput effect. In another example, the correlation may depend on aspecified wearable device of the plurality of wearable devices, whichmay be included in the information. For example, a first wearable devicemay correspond with a first instrument (e.g., a drum), and a secondwearable device may correspond with a second instrument (e.g., aguitar). The wearable devices with corresponding instruments may bepredefined or may be dynamic, such as based on user selections.

The technique 500 includes an operation 508 to send instructions to aspeaker to play the output effects. The operation 508 may includedisplaying visual outputs on a display, using lights, or via fireworks.The output effects may be combined before being played on the speaker.For example, the plurality of wearable devices may correspond to aplurality of instruments, and the information may include a plurality ofgestures made at the plurality of wearable devices. The plurality ofgestures may correlate to a plurality of output effects, such as musicalnotes. The musical notes may be played at the speaker using MIDI filescorresponding to the plurality of instruments.

In an example, the plurality of wearable devices may include a firstwearable device corresponding to a guitar and a second wearable devicecorresponding to a bass. The technique 500 may include receivinginformation including a first gesture made by the first wearable deviceand a second gesture made by the second wearable device. The firstgesture may correlate to a first MIDI note and the second gesture maycorrelate to a second MIDI note. The first MIDI note may be played usinga MIDI guitar note and the second MIDI note may be played using a MIDIbass note. The first and second MIDI notes may be played simultaneouslyat the speaker, to simulate a live band. The technique 500 may beiterated, such as to simulate a song being played live.

Further extensions of the presently disclosed techniques may be used toimplement other type of musical instruments and musical performanceactions with the presently disclosed trigger gestures and gesture dataprocessing. Some specific examples may include: the use of air drumswith 9 axis drums, using a magnetometer to detect a horizontal angle ofperformance; the use of air drums with gyro-based 3-axis gestures, for3-position drums; the use of other tags on a performer's body to buildrelative instruments, such as air drums that move with the artist; theuse of multiple tags on dancers and musicians to track motion and createspecial effects; and like variations using wearable devices, tags, andother location-based mechanisms.

FIG. 6 illustrates generally an example of a block diagram of a machine600 upon which any one or more of the techniques (e.g., methodologies)discussed herein may perform in accordance with some embodiments. Inalternative embodiments, the machine 600 may operate as a standalonedevice or may be connected (e.g., networked) to other machines. In anetworked deployment, the machine 600 may operate in the capacity of aserver machine, a client machine, or both in server-client networkenvironments. In an example, the machine 600 may act as a peer machinein peer-to-peer (P2P) (or other distributed) network environment. Themachine 600 may be a personal computer (PC), a tablet PC, a set-top box(STB), a personal digital assistant (PDA), a mobile telephone, a webappliance, a network router, switch or bridge, or any machine capable ofexecuting instructions (sequential or otherwise) that specify actions tobe taken by that machine. Further, while only a single machine isillustrated, the term “machine” shall also be taken to include anycollection of machines that individually or jointly execute a set (ormultiple sets) of instructions to perform any one or more of themethodologies discussed herein, such as cloud computing, software as aservice (SaaS), other computer cluster configurations.

Examples, as described herein, may include, or may operate on, logic ora number of components, modules, or mechanisms. Modules are tangibleentities (e.g., hardware) capable of performing specified operationswhen operating. A module includes hardware. In an example, the hardwaremay be specifically configured to carry out a specific operation (e.g.,hardwired). In an example, the hardware may include configurableexecution units (e.g., transistors, circuits, etc.) and a computerreadable medium containing instructions, where the instructionsconfigure the execution units to carry out a specific operation when inoperation. The configuring may occur under the direction of theexecutions units or a loading mechanism. Accordingly, the executionunits are communicatively coupled to the computer readable medium whenthe device is operating. In this example, the execution units may be amember of more than one module. For example, under operation, theexecution units may be configured by a first set of instructions toimplement a first module at one point in time and reconfigured by asecond set of instructions to implement a second module.

Machine (e.g., computer system) 600 may include a hardware processor 602(e.g., a central processing unit (CPU), a graphics processing unit(GPU), a hardware processor core, or any combination thereof), a mainmemory 604 and a static memory 606, some or all of which may communicatewith each other via an interlink (e.g., bus) 608. The machine 600 mayfurther include a display unit 610, an alphanumeric input device 612(e.g., a keyboard), and a user interface (UI) navigation device 614(e.g., a mouse). In an example, the display unit 610, alphanumeric inputdevice 612 and UI navigation device 614 may be a touch screen display.The machine 600 may additionally include a storage device (e.g., driveunit) 616, a signal generation device 618 (e.g., a speaker), a networkinterface device 620, and one or more sensors 621, such as a globalpositioning system (GPS) sensor, compass, accelerometer, or othersensor. The machine 600 may include an output controller 628, such as aserial (e.g., universal serial bus (USB), parallel, or other wired orwireless (e.g., infrared (IR), near field communication (NEC), etc.)connection to communicate or control one or more peripheral devices(e.g., a printer, card reader, etc.).

The storage device 616 may include a machine readable medium 622 that isnon-transitory on which is stored one or more sets of data structures orinstructions 624 (e.g., software) embodying or utilized by any one ormore of the techniques or functions described herein. The instructions624 may also reside, completely or at least partially, within the mainmemory 604, within static memory 606, or within the hardware processor602 during execution thereof by the machine 600. In an example, one orany combination of the hardware processor 602, the main memory 604, thestatic memory 606, or the storage device 616 may constitute machinereadable media.

While the machine readable medium 622 is illustrated as a single medium,the term “machine readable medium” may include a single medium ormultiple media (e.g., a centralized or distributed database, orassociated caches and servers) configured to store the one or moreinstructions 624.

The term “machine readable medium” may include any medium that iscapable of storing, encoding, or carrying instructions for execution bythe machine 600 and that cause the machine 600 to perform any one ormore of the techniques of the present disclosure, or that is capable ofstoring, encoding or carrying data structures used by or associated withsuch instructions. Non-limiting machine readable medium examples mayinclude solid-state memories, and optical and magnetic media. Specificexamples of machine readable media may include: non-volatile memory,such as semiconductor memory devices (e.g., Electrically ProgrammableRead-Only Memory (EPROM), Electrically Erasable Programmable Read-OnlyMemory (EEPROM)) and flash memory devices; magnetic disks, such asinternal hard disks and removable disks; magneto-optical disks; andCD-ROM and DVD-ROM disks.

The instructions 624 may further be transmitted or received over acommunications network 626 using a transmission medium via the networkinterface device 620 utilizing any one of a number of transfer protocols(e.g., frame relay, internet protocol (IP), transmission controlprotocol (TCP), user datagram protocol (UDP), hypertext transferprotocol (HTTP), etc.). Example communication networks may include alocal area network (LAN), a wide area network (WAN), a packet datanetwork (e.g., the Internet), mobile telephone networks (e.g., cellularnetworks), Plain Old Telephone (POTS) networks, and wireless datanetworks (e.g., Institute of Electrical and Electronics Engineers (IEEE)802.11 family of standards known as Wi-Fi®, IEEE 802.16 family ofstandards known as WiMax®), IEEE 802.15.4 family of standards,peer-to-peer (P2P) networks, among others. In an example, the networkinterface device 620 may include one or more physical jacks (e.g.,Ethernet, coaxial, or phone jacks) or one or more antennas to connect tothe communications network 626. In an example, the network interfacedevice 620 may include a plurality of antennas to wirelessly communicateusing at least one of single-input multiple-output (SIMO),multiple-input multiple-output (MIMO), or multiple-input single-output(MISO) techniques. The term “transmission medium” shall be taken toinclude any intangible medium that is capable of storing, encoding orcarrying instructions for execution by the machine 600, and includesdigital or analog communications signals or other intangible medium tofacilitate communication of such software.

Additional examples of the presently described method, system, anddevice embodiments include the following, non-limiting configurations.Each of the following non-limiting examples may stand on its own, or maybe combined in any permutation or combination with any one or more ofthe other examples provided below or throughout the present disclosure.

Example 1 is a method, comprising electronic operations, which whenperformed by circuitry of a computing system, causes the computingsystem to perform the electronic operations including: receiving anindication of a triggering gesture occurring with use of a firstwearable device, wherein the triggering gesture is indicated by motioncharacteristics detected by the first wearable device; determining anoutput effect corresponding to the indication of the triggering gesture;and in response to determining the output effect, transmitting commandsto a plurality of computing devices respectively associated with aplurality of wearable devices, wherein the commands cause the pluralityof wearable devices to generate the output effect.

In Example 2, the subject matter of Example 1 optionally includeswherein the indication of the triggering gesture is transmitted from thefirst wearable device to the computing system using a Bluetooth LowEnergy (BLE) connection.

In Example 3, the subject matter of Example 2 optionally includeswherein the indication of the triggering gesture is transmitted from thefirst wearable device to the computing system using a 900 MHz band radioconnection.

In Example 4, the subject matter of any one or more of Examples 2-3optionally include wherein the indication of the triggering gesture istransmitted from the first wearable device to the computing system usingan Ultra-wideband (UWB) connection.

In Example 5, the subject matter of Example 4 optionally includeswherein the indication of the triggering gesture is transmitted via twoor more of: the BLE connection, the UWB connection, or a 900 MHz bandradio connection for redundancy.

In Example 6, the subject matter of any one or more of Examples 1-5optionally include wherein determining the output effect is performed inresponse to performing drift compensation on sensor data from the firstwearable device, wherein the sensor data is included in the indicationof the triggering gesture.

In Example 7, the subject matter of any one or more of Examples 1-6optionally include wherein the motion characteristics are provided fromone or more of: direction measurements, acceleration measurements,rotation measurements, or magnetic field measurements, of the triggeringgesture collected in sensor data from the first wearable device.

In Example 8, the subject matter of Example 7 optionally includeswherein the triggering gesture is a personalized gesture, thepersonalized gesture being programmed in the computing system to bespecific to a human user of the first wearable device.

In Example 9, the subject matter of any one or more of Examples 7-8optionally include wherein the triggering gesture includes one or moreof: a downward movement, a horizontal swipe, or a twist movement by ahuman user of the first wearable device.

In Example 10, the subject matter of any one or more of Examples 1-9optionally include correlating the output effect to a Musical InstrumentDigital Interface (MIDI) note in a musical arrangement; and changing oneor more of volume, pitch, or notation of the MIDI note in the musicalarrangement.

In Example 11, the subject matter of any one or more of Examples 1-10optionally include determining that the indication of the triggeringgesture corresponds to a MIDI instrument and a MIDI note; and playingthe MIDI note on the MIDI instrument.

In Example 12, the subject matter of Example 11 optionally includesreceiving a second indication from a second wearable device; determiningthat the second indication corresponds to a second MIDI instrument and asecond MIDI note; and wherein playing the MIDI note includes playing thesecond MIDI note on the second MIDI instrument.

In Example 13, the subject matter of any one or more of Examples 1-12optionally include wherein the first wearable device is operated by afirst human user, and wherein the plurality of wearable devices areoperated by respective users of a plurality of other human users.

In Example 14, the subject matter of Example 13 optionally includeswherein the first wearable device is a band or bracelet worn by thefirst human user, and wherein the plurality of wearable devices arebands or bracelets worn by the respective users of the plurality ofother human users.

In Example 15, the subject matter of any one or more of Examples 1-14optionally include receiving a plurality of response signals from theplurality of wearable devices, in response to the plurality of wearabledevices generating the output effect; determining a second output effectcorresponding to the plurality of response signals; and triggering asecond output event in response to receiving the plurality of responsesignals from a threshold number of human users of the plurality ofwearable devices.

In Example 16, the subject matter of Example 15 optionally includeswherein triggering the second output event includes transmittinginstructions to an effects controller to control one or more of: lights,fireworks, audio, or visual effects.

In Example 17, the subject matter of any one or more of Examples 1-16optionally include wherein the output effect includes one or more of:haptic feedback, light, or sound.

Example 18 is a machine readable medium including instructions, whichwhen executed by a computing system, cause the computing system toperform any of the methods of Examples 1-17.

Example 19 is an apparatus comprising means for performing any of themethods of Examples 1-17.

Example 20 is a computing device comprising: at least one hardwareprocessor to perform electronic operations that: decode an indicationfrom a first wearable device, wherein the indication is of a triggeringgesture indicated by motion characteristics detected by the firstwearable device; determine an output effect corresponding to theindication of the triggering gesture; and transmit commands to aplurality of computing devices respectively associated with a pluralityof wearable devices, in response to a determination of the outputeffect, wherein the commands cause the plurality of wearable devices togenerate the output effect.

In Example 21, the subject matter of Example 20 optionally includeswherein the hardware processor is to perform further electronicoperations that: perform drift compensation on sensor data, to determinethe output effect, the sensor data included in the indication from thefirst wearable device.

In Example 22, the subject matter of any one or more of Examples 20-21optionally include wherein the hardware processor is to perform furtherelectronic operations that: receive a plurality of response signals fromthe plurality of wearable devices, in response to the commands thatcause the plurality of wearable devices to generate the output effect;and trigger a second output event in response to receipt of theplurality of response signals from a threshold number of the pluralityof wearable devices.

In Example 23, the subject matter of any one or more of Examples 20-22optionally include wherein the hardware processor is to perform furtherelectronic operations that: transmit instructions to an effectscontroller to control one or more of: lights, fireworks, audio, orvisual effects.

In Example 24, the subject matter of any one or more of Examples 20-23optionally include wherein the hardware processor is to perform furtherelectronic operations that: correlate the output effect to a MusicalInstrument Digital Interface (MIDI) note in a musical arrangement; andchange one or more of volume, pitch, or notation of the MIDI note in themusical arrangement.

Example 25 is at least one machine-readable medium includinginstructions for operation of a computing system, which when executed bythe computing system, cause the computing system to perform electronicoperations comprising: receive an indication of a triggering gesturefrom use of a first wearable device, wherein the triggering gesture isindicated by motion characteristics detected by the first wearabledevice; determine an output effect corresponding to the indication ofthe triggering gesture; and transmit commands to a plurality ofcomputing devices respectively associated with a plurality of wearabledevices, in response to a determination of the output effect, whereinthe commands cause the plurality of wearable devices to generate theoutput effect.

In Example 26, the subject matter of Example 25 optionally includeswherein the instructions further cause the computing system to performelectronic operations that: perform drift compensation on sensor data,to determine the output effect, the sensor data included in theindication from the first wearable device.

In Example 27, the subject matter of any one or more of Examples 25-26optionally include wherein the instructions further cause the computingsystem to perform electronic operations that: receive a plurality ofresponse signals from the plurality of wearable devices, in response tothe commands that cause the plurality of wearable devices to generatethe output effect; and trigger a second output event in response toreceipt of the plurality of response signals from a threshold number ofthe plurality of wearable devices.

In Example 28, the subject matter of any one or more of Examples 25-27optionally include wherein the instructions further cause the computingsystem to perform electronic operations that: transmit instructions toan effects controller to control one or more of: lights, fireworks,audio, or visual effects.

In Example 29, the subject matter of any one or more of Examples 25-28optionally include wherein the instructions further cause the computingsystem to perform electronic operations that: correlate the outputeffect to a Musical Instrument Digital Interface (MIDI) note in amusical arrangement; and change one or more of volume, pitch, ornotation of the MIDI note in the musical arrangement.

Example 30 is a system, comprising; a server, comprising at least onehardware processor to perform electronic operations that: receive anindication from a computing device connected to the server, wherein theindication is of a triggering gesture indicated by motioncharacteristics detected by a first wearable device, wherein thecomputing device transmits sensor data for the first wearable device tothe server; determine an output effect corresponding to the indicationof the triggering gesture; and transmit commands to a plurality ofcomputing devices respectively associated with a plurality of wearabledevices, in response to a determination of the output effect, whereinthe commands cause the plurality of wearable devices to generate theoutput effect.

In Example 31, the subject matter of Example 30 optionally includeswherein the hardware processor is to perform further electronicoperations that: perform drift compensation on the sensor data, todetermine the output effect, the sensor data included in the indicationfrom the computing device.

In Example 32, the subject matter of any one or more of Examples 30-31optionally include wherein the hardware processor is to perform furtherelectronic operations that: receive a plurality of response signals fromthe plurality of wearable devices, in response to the commands thatcause the plurality of wearable devices to generate the output effect;and trigger a second output event in response to receipt of theplurality of response signals from a threshold number of the pluralityof wearable devices.

In Example 33, the Subject Matter of any One or More of Examples 30-32Optionally include wherein the hardware processor is to perform furtherelectronic operations that: transmit instructions to an effectscontroller to control one or more of: lights, fireworks, audio, orvisual effects.

In Example 34, the subject matter of any one or more of Examples 30-33optionally include wherein the hardware processor is to perform furtherelectronic operations that: correlate the output effect to a MusicalInstrument Digital Interface (MIDI) note in a musical arrangement; andchange one or more of volume, pitch, or notation of the MIDI note in themusical arrangement.

In Example 35, the subject matter of any one or more of Examples 30-34optionally include the first wearable device and the computing device,the first wearable device communicatively coupled to the computingdevice via two or more of: a Bluetooth Low Energy (BLE) connection, anUltra-wide hand (UWB) connection, or a 900 MHz band radio connection,and the computing device communicatively coupled to the server via alocal area network (LAN) or wide area network (WAN) connection.

In Example 36, the subject matter of any one or more of Examples 30-35optionally include the computing device, the computing device to receivethe indication from the first wearable device and forward the indicationto the server.

In Example 37, the subject matter of any one or more of Examples 30-36optionally include a transmitter, wherein the commands that aretransmitted to the plurality of computing devices are transmitted by theserver via the transmitter.

In Example 38, the subject matter of Example 37 optionally includeswherein the transmitter is to broadcast the commands to the plurality ofcomputing devices in an information broadcast.

In Example 39, the subject matter of any one or more of Examples 30-38optionally include a receiver to: receive a plurality of responsesignals from the plurality of computing devices respectively associatedwith the plurality of wearable devices; and trigger a response event inresponse to receiving the plurality of response signals from a thresholdnumber of the plurality of computing devices.

In Example 40, the subject matter of Example 39 optionally includeswherein to perform the response event, the receiver is to receive asecond indication from the server to trigger the response event.

In Example 41, the subject matter of any one or more of Examples 39-40optionally include a speaker, wherein the response event includes musicto output via the speaker.

Example 42 is an apparatus, comprising: means for receiving anindication of a triggering gesture occurring with use of a firstwearable device, wherein the triggering gesture is indicated by motioncharacteristics detected by the first wearable device; means fordetermining an output effect corresponding to the indication of thetriggering gesture; and means for transmitting commands to a pluralityof computing devices respectively associated with a plurality ofwearable devices, in response to determining the output effect, whereinthe commands cause the plurality of wearable devices to generate theoutput effect.

In Example 43, the subject matter of Example 42 optionally includesmeans for receiving the indication of the triggering gesture from thefirst wearable device using a Bluetooth Low Energy (BLE) connection.

In Example 44, the subject matter of any one or more of Examples 42-43optionally include means for receiving the indication of the triggeringgesture from the first wearable device using a Ultra-wide band (UWB)connection.

In Example 45, the subject matter of any one or more of Examples 42-44optionally include means for receiving and processing a localizationbeacon from the first wearable device transmitted via a Ultra-wide band(UWB) connection.

In Example 46, the subject matter of any one or more of Examples 42-45optionally include means for receiving the indication of the triggeringgesture from the first wearable device using a 900 MHz hand radioconnection.

In Example 47, the subject matter of any one or more of Examples 42-46optionally include means for performing drift compensation on sensordata from the first wearable device, wherein the sensor data is includedin the indication of the triggering gesture.

In Example 48, the subject matter of any one or more of Examples 42-47optionally include means for correlating the output effect to a MusicalInstrument Digital interface (MIDI) note in a musical arrangement; andmeans for changing one or more of volume, pitch, or notation of the MIDInote in the musical arrangement.

In Example 49, the subject matter of any one or more of Examples 42-48optionally include means for determining that the indication of thetriggering gesture corresponds to a MIDI instrument and a MIDI note; andmeans for outputting the MIDI note on the MIDI instrument.

In Example 50, the subject matter of Example 49 optionally includesmeans for receiving a second indication from a second wearable device;and means for determining that the second indication corresponds to asecond MIDI instrument and a second MIDI note, wherein outputting theMIDI note includes outputting the second MIDI note on the second MIDIinstrument.

In Example 51, the subject matter of any one or more of Examples 42-50optionally include means for generating one or more of: haptic feedback,light, or sound, for the output effect.

In Example 52, the subject matter of any one or more of Examples 42-51optionally include means for receiving a plurality of response signalsfrom the plurality of wearable devices, in response to the plurality ofwearable devices generating the output effect; means for determining asecond output effect corresponding to the plurality of response signals;and means for triggering a second output event in response to receivingthe plurality of response signals from a threshold number of human usersof the plurality of wearable devices.

In Example 53, the subject matter of any one or more of Examples 42-52optionally include means for triggering the second output event with oneor more of: lights, fireworks, audio, or visual effects.

Method examples described herein may be machine or computer-implementedat least in part. Some examples may include a computer-readable mediumor machine-readable medium encoded with instructions operable toconfigure an electronic device to perform methods as described in theabove examples. An implementation of such methods may include code, suchas microcode, assembly language code, a higher-level language code, orthe like. Such code may include computer readable instructions forperforming various methods. The code may form portions of computerprogram products. Further, in an example, the code may be tangiblystored on one or more volatile, non-transitory, or non-volatile tangiblecomputer-readable media, such as during execution or at other times.Examples of these tangible computer-readable media may include, but arenot limited to, hard disks, removable magnetic disks, removable opticaldisks (e.g., compact disks and digital video disks), magnetic cassettes,memory cards or sticks, random access memories (RAMs), read onlymemories (ROMs), and the like.

What is claimed is:
 1. A computing device comprising: at least onehardware processor; and memory including instructions that, whenexecuted by the at least one hardware processor, cause the at least onehardware processor to: receive information from a plurality of wearabledevices, wherein each wearable device of the plurality of wearabledevices is worn by a unique user and the information includes movementdata for each respective unique user; classify the movement data for theplurality of wearable devices to produce classified movement data,wherein the classified movement data includes a first multi-usergesture; correlate the classified movement data from the plurality ofwearable devices to media outputs, wherein the first multi-user gesturecorresponds to a first media output of the correlated media outputs;aggregate a count of each wearable device of the plurality of wearabledevices reporting classified movement data correlated to the firstmulti-user gesture; and send instructions to an audio output device toplay the first media output when the count exceeds a threshold.
 2. Thecomputing device of claim 1, wherein the classified movement dataincludes a second multi-user gesture, the second multi-user gesturecorresponding to a second media output of the correlated media outputs.3. The computing device of claim 2, wherein the instructions furthercause the at least one hardware processor to: aggregate a count of thefirst multi-user gesture reported by a first subset of the plurality ofwearable devices; aggregate a count of the second multi-user gesturereported by a second subset of the plurality of wearable device; andsend instructions to the audio output device to play the first mediaoutput when the count of the first multi-user gesture is larger than thecount of the second multi-user gesture or the second media output whenthe count of the second multi-user gesture is larger than the count ofthe first multi-user gesture.
 4. The computing device of claim 2,wherein the media to be played by the audio output device includes thefirst media output including one or more notes generated via a firstMusical Instrument Digital Interface (MIDI) instrument, and the secondmedia output including one or more notes generated via a second MIDIinstrument.
 5. The computing device of claim 1, wherein to classify themovement data, the instructions further cause the at least one hardwareprocessor to classify the movement data based on a type of gesture, atime the movement data was received, or an intensity of a gesture. 6.The computing device of claim 1, wherein to correlate the classifiedmovement data to the media outputs, the instructions further cause theat least one hardware processor to identify a Musical Instrument DigitalInterface (MIDI) note corresponding to the classified movement data, andwherein the media to be played by the audio output device includes theMIDI note.
 7. The computing device of claim 1, wherein the instructionsto the audio output device include instructions to change one or more ofvolume, pitch, or notation of a Musical Instrument Digital Interface(MIDI) note to be played by the audio output device.
 8. The computingdevice of claim 1, wherein to correlate the classified movement data,the instruction further cause the at least one hardware processor tocorrelate the classified movement data to one or more visual outputeffects.
 9. The computing device of claim 1, wherein the instructionsfurther cause the at least one hardware processor to: determine anoutput effect corresponding to the classified movement information; andtransmit commands to a plurality of computing devices associated withrespective ones of the plurality of wearable devices, in response to adetermination of the output effect, wherein the commands cause theplurality of wearable devices to generate the output effect.
 10. Amethod, comprising electronic operations, which when performed bycircuitry of a computing system, causes the computing system to performthe electronic operations including: receiving information from aplurality of wearable devices, wherein each wearable device of theplurality of wearable devices is worn by a unique user and theinformation includes movement data for each respective unique user;classifying the movement data for the plurality of wearable devices toproduce classified movement data, wherein the classified movement dataincludes a first multi-user gesture; correlating the classified movementdata from the plurality of wearable devices to media outputs, whereinthe first multi-user gesture corresponds to a first media output of thecorrelated media outputs; aggregating a count of each wearable device ofthe plurality of wearable devices reporting classified movement datacorrelated to the first multi-user gesture; and sending instructions toan audio output device to play the first media output when the countexceeds a threshold.
 11. The method of claim 10, wherein the classifiedmovement data includes a second multi-user gesture, the secondmulti-user gesture corresponding to a second media output of thecorrelated media outputs.
 12. The method of claim 11, furthercomprising: aggregating a count of the first multi-user gesture reportedby a first subset of the plurality of wearable devices; aggregating acount of the second multi-user gesture reported by a second subset ofthe plurality of wearable device; and sending instructions to the audiooutput device to play the first media output when the count of the firstmulti-user gesture is larger than the count of the second multi-usergesture or the second media output when the count of the secondmulti-user gesture is larger than the count of the first multi-usergesture.
 13. The method of claim 11, wherein the media to be played bythe audio output device includes the first media output including one ormore notes generated via a first Musical Instrument Digital Interface(MIDI) instrument, and the second media output including one or morenotes generated via a second MIDI instrument.
 14. The method of claim10, wherein classifying the movement data includes classifying themovement data based on a type of gesture, a time the movement data wasreceived, or an intensity of a gesture.
 15. The method of claim 10,wherein correlating the classified movement data to the media outputsincludes identifying a Musical Instrument Digital Interface (MIDI) notecorresponding to the classified movement data, and wherein the media tobe played by the audio output device includes the MIDI note.
 16. Themethod of claim 10, wherein the instructions to the audio output deviceinclude instructions to change one or more of volume, pitch, or notationof a Musical Instrument Digital Interface (MIDI) note to be played bythe audio output device.
 17. At least one non-transitorymachine-readable medium including instructions for operation of acomputing system, which when executed by the computing system, cause thecomputing system to perform electronic operations comprising: receivinginformation from a plurality of wearable devices, wherein each wearabledevice of the plurality of wearable devices is worn by a unique user andthe information includes movement data for each respective unique user;classifying the movement data for the plurality of wearable devices toproduce classified movement data, wherein the classified movement dataincludes a first multi-user gesture; correlating the classified movementdata from the plurality of wearable devices to media outputs, whereinthe first multi-user gesture corresponds to a first media output of thecorrelated media outputs; aggregating a count of each wearable device ofthe plurality of wearable devices reporting classified movement datacorrelated to the first multi-user gesture; and sending instructions toan audio output device to play the first media output when the countexceeds a threshold.
 18. The at least one machine-readable medium ofclaim 17, wherein the classified movement data includes a secondmulti-user gesture, the second multi-user gesture corresponding to asecond media output of the correlated media outputs.
 19. The at leastone machine-readable medium of claim 18, further comprising aggregatinga count of the first multi-user gesture and a count of the secondmulti-user gesture from the classified movement data, and wherein themedia to be played by the audio output device is the first media outputwhen the count of the first multi-user gesture exceeds the count of thesecond multi-user gesture.
 20. The at least one machine-readable mediumof claim 18, wherein the media to be played by the audio output deviceincludes the first media output including one or more notes generatedvia a first Musical Instrument Digital Interface (MIDI) instrument, andthe second media output including one or more notes generated via asecond MIDI instrument.
 21. The at least one machine-readable medium ofclaim 17, wherein classifying the movement data includes classifying themovement data based on a type of gesture, a time the movement data wasreceived, or an intensity of a gesture.
 22. A system, comprising; aserver, comprising at least one hardware processor to perform electronicoperations that: receive information from a plurality of wearabledevices, wherein each wearable device of the plurality of wearabledevices is worn by a unique user and the information includes movementdata for each respective unique user; classify the movement data for theplurality of wearable devices to produce classified movement data,wherein the classified movement data includes a first multi-usergesture; correlate the classified movement data from the plurality ofwearable devices to media outputs, wherein the first multi-user gesturecorresponds to a first media output of the correlated media outputs;aggregate a count of each wearable device of the plurality of wearabledevices reporting classified movement data correlated to the firstmulti-user gesture; and send instructions to an audio output device toplay the first media output when the count exceeds a threshold.
 23. Thesystem of claim 22, wherein the classified movement data includes asecond multi-user gesture, the second multi-user gesture correspondingto a second media output of the correlated media outputs.
 24. The systemof claim 22, wherein to correlate the classified movement data to themedia outputs includes identifying a Musical Instrument DigitalInterface (MIDI) note corresponding to the classified movement data, andwherein the media to be played by the audio output device includes theMIDI note.
 25. The system of claim 22, wherein the instructions to theaudio output device include instructions to change one or more ofvolume, pitch, or notation of a Musical Instrument Digital Interface(MIDI) note to be played by the audio output device.